Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
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Updated
Apr 6, 2026 - Python
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
Linear, IV and GMM Regressions With Any Number of Fixed Effects
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Source code repository for the R package lfe on CRAN.
Summary and diagnostic information for evaluating within-fixed-effect variation.
Fast estimation of generalized linear models with high dimensional categorical variables in Julia
Estimate an AKM-style two-way fixed effects model using Canadian matched employer-employee data.
Regression-based multi-period difference-in-differences with heterogenous treatment effects
Bias reduced fixed effect generalized linear models
Econometrics II workshop (2025).
The repository provides state-of-arts machine-learning approaches to revamping firm fixed effects models in finance studies.
This repository introduces how to run fixed effects models and do some hypothesis testing in Stata.
📊 EconKit — 一站式计量经济学实证分析工具 | All-in-one Econometrics Toolkit for Chinese Economics Students. DID/PSM/RDD/IV/FE/GMM, parallel trends, placebo tests, PDF report. No code needed.
Sabanci University ECON 301 (Econometrics) Problem Set Solutions & Stata Analysis
Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage
Raw files for a document covering different approaches to dealing with dependent data.
Form fixed effect groups through K-means clustering
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